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Search Results: 1 - 10 of 14490 matches for " Support networks "
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Redes sociales y apoyo social percibido en pacientes en hemodiálisis crónica
Arechabala Mantuliz,M. Cecilia; Catoni Salamanca,María Isabel; Palma Castro,Eugenia;
Investigación y Educación en Enfermería , 2005,
Abstract: this is a descriptive, cross-sectional study focused on identifying perceptions of chilean chronic hemodialysis patients in social support and the characteristics of so?cial networks. an instrument developed by the authors was administered to 84 chronic hemodyalisis patients who had a median age of 62 years. 52% were women, 72,2% were retired and owned their own homes, and 59.5% had been receiving dialysis for two or more years. the majority (97.5%) lived with someone else, and of these 83.5% lived with relatives. only 27.8% had paying jobs, and 59.5% declared that they had friends. regarding how they perceived social support, 92.4% indicated that they could always count on their family support for any kind of problem. of the patients who indicated that they had friends, only 55.7% per?ceived that they could count on their support, mainly in the form of emotional support. although 48% indicated that they knew about institutions to aid renal patients, less than half indicated that they had requested aid from these institutions, mainly in the form of economic assistance. most of them (73%) did not perceive that their disease was a burden for their relatives and 90% indicated that they always felt important for their family. the findings indicate that most of the study participants lived with relatives and feel accepted and understood by their family members. on the other hand, they did not perceive friendship nor institutions that aid renal patients as important sources of support.
Redes de apoio social no Rio de Janeiro e em S?o Paulo
Marques, Eduardo;Bichir, Renata;
Novos Estudos - CEBRAP , 2011, DOI: 10.1590/S0101-33002011000200006
Abstract: this article analyzes egocentered networks of social support in rio de janeiro and s?o paulo using data from a survey carried out in 2008. following the results of a previous research about personal networks in s?o paulo, we investigate the main characteristics, dynamics and conditioning factors of the networks, evidencing strong regularities along the life cycle and between social groups. regardless of those regularities, the results indicate intense relational heterogeneity inside each social group, organized both among the poor and the non-poor by the homophily and localism of the networks, generating strong consequences for the reproduction of social inequalities.
Redes: um olhar sistêmico para a epidemiologia de doen?as transmissíveis
Code?o,Cláudia Torres; Coelho,Flávio Code?o;
Ciência & Saúde Coletiva , 2008, DOI: 10.1590/S1413-81232008000600011
Abstract: the direct or indirect physical contact between human beings as a basic condition for the transmission of infectious diseases stimulated epidemiologists to put forth great efforts to understanding and describing the process of human contacts. it is through these contacts that disease spreads over populations and emerges, at the systemic level, in the form of epidemics. during the 20th century, many researchers dedicated themselves to revealing the population patterns that favor or not the emergence of epidemics and their temporal and spatial dynamics. the first insights came from population models adapted from the physical sciences, in which non-structured populations are considered. later on it became clear that a more detailed description of social structures was required to correctly describe epidemic dynamics, and concepts such as social group, social network and social cohesion became important terms in the quantitative study of epidemics. the approximation between epidemiology and the social sciences turns obvious as their concepts are interacting more and more. to give a brief overview of this trajectory is the purpose of this article.
Mallas de paisanaje: el entramado de relaciones de los inmigrantes.
Maya Jariego, Isidro
REDES : Revista Hispana para el Análisis de Redes Sociales , 2009,
Abstract: This paper summarises part of our work concerning social support networks among immigrants. It combines a compilation of some of our most significant findings with the formulation of hypothetical arguments that are based on previous evidence. We shall develop three main points: first, we shall briefly present the concept of social support; second, we shall review—with immigrant populations—some dimensions of this concept, such as the multiplicity of providers, help exchanges, and the collective context of migration chains; finally, we shall propose a classification of the types of support chains involving immigrants with less than ten years of residence in Spain.
Water Demand Prediction using Artificial Neural Networks and Support Vector Regression
Ishmael S. Msiza,Fulufhelo V. Nelwamondo,Tshilidzi Marwala
Journal of Computers , 2008, DOI: 10.4304/jcp.3.11.1-8
Abstract: Computational Intelligence techniques have been proposed as an efficient tool for modeling and forecasting in recent years and in various applications. Water is a basic need and as a result, water supply entities have the responsibility to supply clean and safe water at the rate required by the consumer. It is therefore necessary to implement mechanisms and systems that can be employed to predict both short-term and long-term water demands. The increasingly growing field of computational intelligence techniques has been proposed as an efficient tool in the modeling of dynamic phenomena. The primary objective of this paper is to compare the efficiency of two computational intelligence techniques in water demand forecasting. The techniques under comparison are Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs). In this study it was observed that ANNs perform significantly better than SVMs. This performance is measured against the generalization ability of the two techniques in water demand prediction.
Informal Support Networks in a Changing Society – are Family-Based Networks Being ‘Crowded out’?
Kairi Kasearu,Dagmar Kutsar
Studies of Transition States and Societies , 2010,
Abstract: Using data from two nationally representative surveys (Estonian Living Conditions survey 1994, n=4,455; Estonian Social Survey 2004, n=8,906), we assess whether informal support networks have changed during the ten year period in Estonia. We hypothesize that during this period due to the establishment of a new welfare system and an overall increase in living standards, on one hand, and diversifcation of family forms and increased geographic mobility of the population on the other, family support networks have lost their functionality. Our fndings show that informal support has decreased between relatives, while mutual helping activities with non-relatives – neighbours, colleagues and friends – have remained almost at the same level. We suggest that the developments in the Estonian society are ‘crowding out’ the instrumental support exchange in the kinship system and empowering social networking with non-relatives.
Machine Learning Algorithms and Their Application to Ore Reserve Estimation of Sparse and Imprecise Data  [PDF]
Sridhar Dutta, Sukumar Bandopadhyay, Rajive Ganguli, Debasmita Misra
Journal of Intelligent Learning Systems and Applications (JILSA) , 2010, DOI: 10.4236/jilsa.2010.22012
Abstract: Traditional geostatistical estimation techniques have been used predominantly by the mining industry for ore reserve estimation. Determination of mineral reserve has posed considerable challenge to mining engineers due to the geological complexities of ore body formation. Extensive research over the years has resulted in the development of several state-of-the-art methods for predictive spatial mapping, which could be used for ore reserve estimation; and recent advances in the use of machine learning algorithms (MLA) have provided a new approach for solving the prob-lem of ore reserve estimation. The focus of the present study was on the use of two MLA for estimating ore reserve: namely, neural networks (NN) and support vector machines (SVM). Application of MLA and the various issues involved with using them for reserve estimation have been elaborated with the help of a complex drill-hole dataset that exhibits the typical properties of sparseness and impreciseness that might be associated with a mining dataset. To investigate the accuracy and applicability of MLA for ore reserve estimation, the generalization ability of NN and SVM was compared with the geostatistical ordinary kriging (OK) method.
Forecasting the Demand of Short-Term Electric Power Load with Large-Scale LP-SVR  [PDF]
Pablo Rivas-Perea, Juan Cota-Ruiz, David Garcia Chaparro, Abel Quezada Carreón, Francisco J. Enríquez Aguilera, Jose-Gerardo Rosiles
Smart Grid and Renewable Energy (SGRE) , 2013, DOI: 10.4236/sgre.2013.46051
Abstract:

This research studies short-term electricity load prediction with a large-scalelinear programming support vector regression (LP-SVR) model. The LP-SVR is compared with other three non-linear regression models: Collobert’s SVR, Feed-Forward Neural Networks (FFNN), and Bagged Regression Trees (BRT). The four models are trained to predict hourly day-ahead loads given temperature predictions, holiday information and historical loads. The models are trained on-hourly data from the New England Power Pool (NEPOOL) region from 2004 to 2007 and tested on out-of-sample data from 2008. Experimental results indicate that the proposed LP-SVR method gives the smallest error when compared against the other approaches. The LP-SVR shows a mean absolute percent error of 1.58% while the FFNN approach has a 1.61%. Similarly, the FFNN method shows a 330 MWh (Megawatts-hour) mean absolute error, whereas the LP-SVR approach gives a 238 MWh mean absolute error. This is a significant difference in terms of the extra power that would need to be produced if FFNN was used. The proposed LP-SVR model can be utilized for predicting power loads to a very low error, and it is comparable to FFNN and over-performs other state of the art methods such as: Bagged Regression Trees, and Large-Scale SVRs.

Psychosocial and Career Support from Different Types of Role-Multiplexity in Developmental Relationships  [PDF]
Luisa Barthauer, Daniel Spurk, Simone Kauffeld
Psychology (PSYCH) , 2018, DOI: 10.4236/psych.2018.98122
Abstract: Related to role theory’s expansion approach, this study focused on how various social roles in one focal person-network member relationship (i.e., multiplexity) relate to the amount of psychosocial and career support. We expected different types of multiplex relationships in comparison to simplex relationships to be positively associated with the support received by the focal person. Via multilevel analysis in M plus, 2995 dyadic relationships of developmental networks nested in 533 persons were analysed. Concerning psychosocial support, a positive association with multiplex relationships from the non-work context, and the combination of work and non-work context could be observed. Multiplex relationships from the work context and multiplex relationships from the work and non-work context were positively associated with career support.
Abrindo caminho para o futuro: redes de apoio social e resiliência em autobiografias de jovens socioeconomicamente vulneráveis
Germano, Idilva Maria Pires;Cola?o, Veriana de Fátima Rodrigues;
Estudos de Psicologia (Natal) , 2012, DOI: 10.1590/S1413-294X2012000300005
Abstract: this work discusses resilience processes and social support networks among youth based on narrative interviews with socioeconomically disadvantaged students from public schools in fortaleza (brazil). the aim of the study was to analyze how they told their life stories, particularly how they dealt with adversities, navigating their way to health-sustaining resources and well-being. thematic and narrative analysis were applied to understand the way youth achieve personal, family, community and cultural resources and how these resources and strategies have a protective effect. considering that resilience also refers to the availability of the resources sought special attention was directed to their communities' capacity to properly provide them. a meaningful result is their perception of public politics and services as ineffective or absent. facing the decline of the public sphere, youth tend to take refuge in the family and in their own personal resources as means to stand up to their future.
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